T
AI Engineer
T
- Posted 4 hours ago
- Be among the first 10 applicants
Job Description
Position: AI Engineer
Experience: 5-10 Years
Location: Bangalore
Notice Period: Immediate Joiner / Up to 30 Days
Job Summary :
We are seeking a highly skilled AI Engineer with hands-on experience in Python, Agentic AI, Generative AI, RAG (Retrieval-Augmented Generation), Machine Learning, and Large Language Models (LLMs) on any major cloud platform. The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI solutions leveraging modern GenAI technologies.
Key Responsibilities :
- Design and develop AI/ML solutions using Python and modern AI frameworks.
- Build and implement Agentic AI systems leveraging LLMs and autonomous workflows.
- Develop and optimize RAG-based applications integrating vector databases and enterprise knowledge sources.
- Deploy and manage AI solutions on cloud platforms such as Azure, AWS, or GCP.
- Fine-tune, evaluate, and optimize Large Language Models for business use cases.
- Integrate GenAI solutions with enterprise applications and APIs.
- Work closely with cross-functional teams to translate business requirements into AI-driven solutions.
- Ensure scalability, security, and performance of AI applications.
- Stay updated with emerging trends in GenAI, Agentic AI, and Machine Learning technologies.
Required Skills :
- Strong programming experience in Python.
- Hands-on experience with Generative AI, Agentic AI, and RAG architectures.
- Solid understanding of Machine Learning concepts and model development.
- Experience working with LLMs such as OpenAI, Claude, Gemini, Llama, Mistral, etc.
- Knowledge of vector databases like Pinecone, ChromaDB, FAISS, or Weaviate.
- Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Hands-on experience with Azure OpenAI, AWS Bedrock, Vertex AI, or any cloud-based AI platform.
- Experience in API development and integration.
- Good understanding of prompt engineering and AI model evaluation techniques.
Preferred Skills :
- Experience with MLOps and AI model deployment pipelines.
- Knowledge of Kubernetes, Docker, and CI/CD for AI workloads.
- Familiarity with NLP, embeddings, and semantic search technologies.
More Info
Key Skills
AI orchestration frameworks
Generative AI
LLMs
vector databases
prompt engineering
Agentic AI
RAG architectures
About Company
Skills:
Apis, Microservices, MLOps practices, RAG Retrieval-Augmented Generation solutions, vector databases, AI model integration, Generative AI applications
Skills:
adobe target , optimizely , Tableau, Adobe Analytics, Python, Google Optimize, R
Skills:
data engineering , Machine Learning, MLops, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language
Skills:
MLops, Python Programming, Azure, AWS, Artificial Intelligence AI, RAG architecture, DevOps practices, Prompt Engineering and LLM Fine-Tuning, Google Cloud Platform GCP, Vector Databases, Generative AI GenAI, Intelligent Document Processing IDP, Machine Learning ML, Embedding Models
Skills:
Summarization, Python, RAG components, LLM pipelines, citation grounding